firecrown.likelihood.gauss_family.statistic.statistic.TrivialStatistic#

class firecrown.likelihood.gauss_family.statistic.statistic.TrivialStatistic[source]#

A minimal statistic only to be used for testing Gaussian likelihoods.

It returns a DataVector and TheoryVector each of which is three elements long. The SACC data provided to TrivialStatistic.read() must supply the necessary values.

Public Methods:

`__init__`()	Initialize this statistic.
`read`(sacc_data)	Read the necessary items from the sacc data.
`get_data_vector`()	Return the data vector; raise exception if there is none.

Inherited from Statistic

`__init__`([parameter_prefix])	Updatable initialization.
`read`(_)	Read the data for this statistic and mark it as ready for use.
`get_data_vector`()	Gets the statistic data vector.
`compute_theory_vector`(tools)	Compute a statistic from sources, applying any systematics.
`get_theory_vector`()	Returns the last computed theory vector.

Inherited from Updatable

`__init__`([parameter_prefix])	Updatable initialization.
`__setattr__`(key, value)	Set the attribute named `key` to the supplied value.
`set_parameter`(key, value)	Sets the parameter to the given value.
`set_internal_parameter`(key, value)	Assure this InternalParameter has not already been set, and then set it.
`set_sampler_parameter`(value)	Assure this SamplerParameter has not already been set, and then set it.
`update`(params)	Update self by calling to prepare for the next MCMC sample.
`is_updated`()	Determine if the object has been updated.
`reset`()	Reset the updatable.
`required_parameters`()	Returns a RequiredParameters object.
`get_derived_parameters`()	Returns a collection of derived parameters.

Private Methods:

`_required_parameters`()	Return an empty RequiredParameters.
`_get_derived_parameters`()	Return an empty DerivedParameterCollection.
`_compute_theory_vector`(_)	Return a fixed theory vector.

Inherited from Statistic

`_reset`()	Reset this statistic.
`_compute_theory_vector`(tools)	Compute a statistic from sources, concrete implementation.

Inherited from Updatable

`_update`(params)	Method for auxiliary updates to be made to an updatable.
`_reset`()	Abstract method implemented by all concrete classes to update self.
`_required_parameters`()	Return a RequiredParameters object containing the information for this class.
`_get_derived_parameters`()	Returns the derived parameters of an implementation.

_compute_theory_vector(_)[source]#

Return a fixed theory vector.

final _get_derived_parameters()[source]#

Return an empty DerivedParameterCollection.

final _required_parameters()[source]#

Return an empty RequiredParameters.

get_data_vector()[source]#

Return the data vector; raise exception if there is none.

read(sacc_data)[source]#

Read the necessary items from the sacc data.

firecrown.likelihood.gauss_family.statistic.statistic.TrivialStatistic